Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C333E9707302A1670267C9F9A831B7C6A383A1DEDF96D054FAED933629C7FB0A90541D |
|
CONTENT
ssdeep
|
1536:jgTmnIyzOcLvXdveRE0UznIFKYZdP9Wqvto1dCSzLeEGoEYxt4gmwoNz+BSnE5jr:+mFqvto1ASzLeEGoEYxt4gmwoNoSEZr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9493ceedc9631316 |
|
VISUAL
aHash
|
ffff040000000000 |
|
VISUAL
dHash
|
808c4c54165e6424 |
|
VISUAL
wHash
|
ffff8e888a868212 |
|
VISUAL
colorHash
|
09e00000000 |
|
VISUAL
cropResistant
|
808c4c54165e6424,8cc2c0727cf8b87c,0c5c17141e4c2434 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 604 techniques to evade detection by security scanners and make reverse engineering more difficult.